




'''simple docstring'''


from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat


def     SCREAMING_SNAKE_CASE							(   ):
  __a								=       [randint(-1000					,       1000      ) for i in range(10      )]
  __a								=       randint(-5000					,       5000      )
  return (arr, r)


UpperCAmelCase_					=   make_dataset()


def     SCREAMING_SNAKE_CASE							(   a_						:				list[int]					,       a_						:				int      ):
  for triplet in permutations(a_					,       3      ):
    if sum(a_      ) == target:
      return tuple(sorted(a_      )      )
  return (0, 0, 0)


def     SCREAMING_SNAKE_CASE							(   a_						:				list[int]					,       a_						:				int      ):
  arr.sort()
  __a								=       len(a_      )
  for i in range(n - 1      ):
    __a						,							__a								=       i + 1, n - 1
    while left < right:
      if arr[i] + arr[left] + arr[right] == target:
        return (arr[i], arr[left], arr[right])
      elif arr[i] + arr[left] + arr[right] < target:
        left += 1
      elif arr[i] + arr[left] + arr[right] > target:
        right -= 1
  return (0, 0, 0)


def     SCREAMING_SNAKE_CASE							(   ):
  __a								=       '\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n'
  __a								=       '\ntriplet_sum1(*dataset)\n'
  __a								=       '\ntriplet_sum2(*dataset)\n'
  __a								=       repeat(setup=a_					,       stmt=a_					,       repeat=5					,       number=1_0000      )
  __a								=       repeat(setup=a_					,       stmt=a_					,       repeat=5					,       number=1_0000      )
  return (min(a_      ), min(a_      ))


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  UpperCAmelCase_					=   solution_times()
  print(f"""The time for naive implementation is {times[0]}.""")
  print(f"""The time for optimized implementation is {times[1]}.""")









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_					=   {
    "configuration_time_series_transformer": [
        "TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TimeSeriesTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TimeSeriesTransformerForPrediction",
      "TimeSeriesTransformerModel",
      "TimeSeriesTransformerPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_time_series_transformer import (
      TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TimeSeriesTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimeSeriesTransformerForPrediction,
        TimeSeriesTransformerModel,
        TimeSeriesTransformerPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



